Neuron

Financial Planning and Analysis

• Managing day-to-day finance and accounting activities across business units
• Working across cloud platforms including QuickBooks, Google Workspace, Stripe, Bill.com, HubSpot, and banking platforms
• Preparing budgets by coordinating across multiple functions
• Owning monthly consolidated financials and management reporting
• Preparing board meeting materials and investor updates as required
• Managing Accounts Receivable (AR), Accounts Payable (AP), and revenue recognition (Rev Rec)
• Supporting payroll processing, payroll tax compliance, and state requirements
• Managing expense approvals and reimbursement processes
• Maintaining accurate records, reconciliations, reporting, and documentation
• Ensuring statutory, financial, and operational compliance to keep the company in good standing
• Managing multiple priorities, proactively escalating risks, and meeting deadlines
• Identifying process improvements and supporting automation initiatives
• Partnering with cross-functional teams on finance and operational workflows
• Mentoring junior team members and contributing to a collaborative team culture

Finance & Operations Associate

Customer Success Manager

• You will lead:
• Customer onboarding and implementation of Neuron7 AI solutions
• Integration of CRM and service management platforms with Neuron7 products
• Data onboarding and enterprise integrations in collaboration with customer and internal engineering teams
• AI solution deployment, configuration, testing, and adoption
• Customer workshops and technical solution reviews
• Definition and measurement of ROI, business outcomes, and adoption KPIs
• AI-powered service transformation initiatives for customer service and field service teams
• Executive stakeholder management and customer success planning
• Contract renewals, expansion opportunities, and cross-functional collaboration with sales teams
• Product feedback and enhancement recommendations based on customer requirements
• Demonstrations of new AI, Agentic AI, and Resolution Intelligence capabilities

Technical Customer Success Manager – Enterprise AI, SaaS Platform

Solutions Engineer

• Serve as a strategic advisor and trusted technical partner for enterprise customers
• Work at the intersection of AI, enterprise architecture, customer transformation, and delivery execution
• Partner with executives, architects, product teams, and engineers to design scalable enterprise architectures
• Analyze and optimize end-to-end business processes
• Architect solutions that enable autonomous AI agents
• Engage with executives and stakeholders to shape solution vision
• Translate business objectives into scalable technical architectures
• Partner with project and engagement managers to drive successful implementations
• Collaborate with Product, Engineering, Customer Success, and Delivery teams

Solution Engineer

Manager

• Own and manage the complete release lifecycle—planning, scheduling, coordination, deployment, and validation

Release Manager

• You are the first point of contact for our global customer base
• You will lead the customer on-boarding process with optimized solution
• Integration of their CRM systems with Neuron7 products
• Data integration steps with engineering teams
• Collaboration with customer PM for change management activities
• Development of training content
• Definition of RoI metrics and other KPIs related to usage, user adoption, and accuracy.
• Find solutions for customer service challenges with/without using AI / NLP technologies and provide ideas / enhancements to Neuron7 core product team
• Develop long-term relationships with customer leadership, key stakeholders to ensure contracts are renewed and able to upsell / cross-sell of Neuron7 products in collaboration with sales teams
• Learn the new AI / NLP products / features as they are released and showcase demos to customers
• Develop templates / models and train new customer success team members as needed

Customer Success Director – Technical Implementation

• You are the first point of contact for our global customer base
• You will lead the customer on-boarding process with optimized solution
• Integration of their CRM systems with Neuron7 products
• Data integration steps with engineering teams
• Collaboration with customer PM for change management activities
• Development of training content
• Definition of RoI metrics and other KPIs related to usage, user adoption, and accuracy.
• Find solutions for customer service challenges with/without using AI / NLP technologies and provide ideas / enhancements to Neuron7 core product team
• Develop longterm relationships with customer leadership, key stakeholders to ensure contracts are renewed and able to upsell / cross-sell of Neuron7 products in collaboration with sales teams
• Learn the new AI / NLP products / features as they are released and showcase demos to customers
• Develop templates / models and train new customer success team members as needed

Customer Success Director

Implementation Specialist

• Develop and maintain Python-based services, APIs, and integration layers for customer implementations.
• Build data ingestion, transformation, and validation pipelines to support AI/ML workflows.
• Implement customer-specific logic, connectors, and automations using Python microservices.
• Integrate internal ML pipelines, LLM components, and retrieval systems into customer environments.
• Work with RAG pipelines, embedding workflows, or NLP modules as needed for solution deployment.
• Collaborate with ML Engineers to productionize models and optimize performance.
• Configure and deploy services on cloud platforms (Azure/AWS/GCP).
• Ensure reliability, observability, and performance of implementation-specific services.
• Troubleshoot production issues, analyze logs, and perform root-cause analysis.
• Work closely with Customer Success & Solutions teams to translate requirements into technical specifications.
• Own end-to-end technical implementation for enterprise accounts.
• Provide guidance on best practices, architecture choices, and scalable patterns.
• Participate in code reviews and maintain high-quality coding standards.
• Document implementation workflows, integration steps, and troubleshooting playbooks.
• Mentor junior team members and contribute to internal tooling and automation.